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Posted 5 mo agoFirst seen 13 d ago
Technician 4, Quality Engineering (R4959)
Posted by Shield AI on 15 May 2026, 160 days ago. Still on their Lever board when we checked 6 min ago. Half of Shield AI's roles come down within 44 days.
What the posting is about
Join Shield AI's quality engineering team to ensure product reliability and performance in autonomous systems. Collaborate with cross-functional teams to improve product quality and efficiency. Bring your hands-on experience in hardware testing and quality processes from aerospace, defense, or robotics environments.
Read out of the posting
LevelNot stated
Experience asked4+ years
EmploymentFull time
LocationDallas, Texas
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-05-15
Found vialever, direct from their system
We saw it 5 months after it went up.
The posting, as the company wrote it
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description:
Join a high-impact quality engineering team supporting the development and validation of next-generation autonomous systems. This role works closely with engineering, manufacturing, and test teams to ensure products meet reliability, performance, and quality standards throughout development and production. You will support inspection, testing, troubleshooting, and data collection activities that improve product quality and execution efficiency.
We are seeking a Quality Engineering Technician with hands-on experience supporting hardware testing, inspection, diagnostics, and quality processes in aerospace, defense, robotics, or complex manufacturing environments.
Copied from Shield AI’s own board, not rewritten. Original ↗
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